Real-time Analytics Platform for Enhanced Event Management Insights

Our SME in the Catering & Events industry seeks to develop a cutting-edge real-time analytics platform. The goal is to integrate scattered data sources into a cohesive system that offers comprehensive insights into event operations and customer interactions. By leveraging technologies like Apache Kafka, Spark, and Airflow, we aim to create a robust data infrastructure capable of handling real-time event data streams. The platform will utilize data mesh principles to ensure scalability and flexibility, enabling seamless data sharing across different departments. Additionally, implementing MLOps practices will facilitate the deployment of predictive models, enhancing forecasting accuracy and resource management. This project is critical for maintaining competitive advantage by offering improved event personalization and operational efficiency. The solution will also include data observability features to ensure data quality and integrity across the pipeline.